_COUPLE=1;
_VITESSE=2;
data=struct();
data.type_experience=_VITESSE;
data.file_name='test_04_02_2015_09h_07mn_59s_VitesseCte6000rpmX100.m';
data.description_experience="Consigne de vitesse sinusoidale, avec asservissement";
data.values=zeros(1335,6);% Indices des colonnes de données
data.col_time=1;
data.col_position=2;
data.col_vitesse=3;
data.col_current=4;
data.col_load=5;
data.col_consigne=6;
i=0;
i=i+1;data.values(i,:)=[0,747,0,1922,320,6000];
i=i+1;data.values(i,:)=[14998,738,1080,1881,594,6000];
i=i+1;data.values(i,:)=[30000,706,1228,1936,556,6000];
i=i+1;data.values(i,:)=[44997,653,1388,1984,380,6000];
i=i+1;data.values(i,:)=[59996,592,1472,2009,283,6000];
i=i+1;data.values(i,:)=[74997,527,1524,2021,266,6000];
i=i+1;data.values(i,:)=[89997,465,1524,2017,233,6000];
i=i+1;data.values(i,:)=[104996,403,1520,2013,225,6000];
i=i+1;data.values(i,:)=[119998,335,1528,2003,260,6000];
i=i+1;data.values(i,:)=[134997,274,1528,2010,241,6000];
i=i+1;data.values(i,:)=[149997,207,1520,2019,211,6000];
i=i+1;data.values(i,:)=[164998,144,1524,2014,250,6000];
i=i+1;data.values(i,:)=[179997,80,1524,2005,260,6000];
i=i+1;data.values(i,:)=[194997,17,1520,2011,239,6000];
i=i+1;data.values(i,:)=[209997,4046,1516,2020,264,6000];
i=i+1;data.values(i,:)=[224997,3980,1524,2012,258,6000];
i=i+1;data.values(i,:)=[240002,3918,1524,2001,244,6000];
i=i+1;data.values(i,:)=[254997,3855,1512,2013,236,6000];
i=i+1;data.values(i,:)=[269997,3788,1520,2018,256,6000];
i=i+1;data.values(i,:)=[284997,3728,1520,2007,236,6000];
i=i+1;data.values(i,:)=[299997,3661,1512,2011,236,6000];
i=i+1;data.values(i,:)=[314997,3597,1520,2011,256,6000];
i=i+1;data.values(i,:)=[329999,3532,1524,2025,256,6000];
i=i+1;data.values(i,:)=[344997,3469,1516,2014,255,6000];
i=i+1;data.values(i,:)=[359997,3402,1516,2023,241,6000];
i=i+1;data.values(i,:)=[374997,3339,1520,2015,252,6000];
i=i+1;data.values(i,:)=[389996,3274,1524,2019,247,6000];
i=i+1;data.values(i,:)=[404995,3210,1516,2009,239,6000];
i=i+1;data.values(i,:)=[419997,3148,1524,2013,258,6000];
i=i+1;data.values(i,:)=[434997,3083,1520,2011,231,6000];
i=i+1;data.values(i,:)=[449997,3017,1520,2025,255,6000];
i=i+1;data.values(i,:)=[464997,2954,1520,2012,260,6000];
i=i+1;data.values(i,:)=[479997,2887,1528,2016,231,6000];
i=i+1;data.values(i,:)=[494997,2825,1520,2018,217,6000];
i=i+1;data.values(i,:)=[509997,2763,1524,2015,219,6000];
i=i+1;data.values(i,:)=[524998,2697,1528,2011,244,6000];
i=i+1;data.values(i,:)=[539997,2631,1528,2011,217,6000];
i=i+1;data.values(i,:)=[554997,2567,1524,2020,241,6000];
i=i+1;data.values(i,:)=[569997,2505,1532,2009,244,6000];
i=i+1;data.values(i,:)=[584999,2440,1528,2009,236,6000];
i=i+1;data.values(i,:)=[600002,2378,1520,2025,241,6000];
i=i+1;data.values(i,:)=[615000,2312,1516,2017,266,6000];
i=i+1;data.values(i,:)=[629998,2247,1524,2016,264,6000];
i=i+1;data.values(i,:)=[645000,2185,1524,2013,239,6000];
i=i+1;data.values(i,:)=[659997,2122,1520,2010,223,6000];
i=i+1;data.values(i,:)=[675000,2056,1524,2021,269,6000];
i=i+1;data.values(i,:)=[689997,1995,1524,2014,247,6000];
i=i+1;data.values(i,:)=[704997,1928,1516,2010,252,6000];
i=i+1;data.values(i,:)=[719998,1866,1520,2017,264,6000];
i=i+1;data.values(i,:)=[735002,1801,1524,2015,264,6000];
i=i+1;data.values(i,:)=[749997,1738,1512,2014,244,6000];
i=i+1;data.values(i,:)=[764996,1673,1512,2008,236,6000];
i=i+1;data.values(i,:)=[779997,1609,1524,2017,264,6000];
i=i+1;data.values(i,:)=[794998,1544,1516,2014,250,6000];
i=i+1;data.values(i,:)=[809997,1482,1512,2021,244,6000];
i=i+1;data.values(i,:)=[824997,1419,1524,2014,256,6000];
i=i+1;data.values(i,:)=[839997,1354,1524,2018,244,6000];
i=i+1;data.values(i,:)=[854998,1287,1520,2031,255,6000];
i=i+1;data.values(i,:)=[869997,1224,1520,2003,260,6000];
i=i+1;data.values(i,:)=[884997,1158,1524,2000,244,6000];
i=i+1;data.values(i,:)=[899998,1095,1528,2017,225,6000];
i=i+1;data.values(i,:)=[914997,1033,1516,2023,209,6000];
i=i+1;data.values(i,:)=[929996,967,1528,2020,269,6000];
i=i+1;data.values(i,:)=[945001,906,1528,2006,247,6000];
i=i+1;data.values(i,:)=[959998,838,1520,2015,217,6000];
i=i+1;data.values(i,:)=[974996,776,1528,2019,236,6000];
i=i+1;data.values(i,:)=[989996,712,1524,2013,252,6000];
i=i+1;data.values(i,:)=[1004995,650,1524,2000,233,6000];
i=i+1;data.values(i,:)=[1019997,583,1524,2007,250,6000];
i=i+1;data.values(i,:)=[1034996,520,1524,2015,255,6000];
i=i+1;data.values(i,:)=[1049998,455,1532,2019,213,6000];
i=i+1;data.values(i,:)=[1064997,392,1524,2014,211,6000];
i=i+1;data.values(i,:)=[1079997,330,1524,2012,260,6000];
i=i+1;data.values(i,:)=[1094997,263,1528,2005,241,6000];
i=i+1;data.values(i,:)=[1109997,198,1520,2007,231,6000];
i=i+1;data.values(i,:)=[1124997,135,1520,2016,250,6000];
i=i+1;data.values(i,:)=[1139998,70,1524,2012,266,6000];
i=i+1;data.values(i,:)=[1154997,7,1512,2020,233,6000];
i=i+1;data.values(i,:)=[1169997,4036,1516,2016,231,6000];
i=i+1;data.values(i,:)=[1184998,3972,1524,2013,244,6000];
i=i+1;data.values(i,:)=[1199998,3908,1524,2009,244,6000];
i=i+1;data.values(i,:)=[1214997,3845,1512,2013,242,6000];
i=i+1;data.values(i,:)=[1229997,3781,1524,2020,269,6000];
i=i+1;data.values(i,:)=[1244999,3717,1524,2011,258,6000];
i=i+1;data.values(i,:)=[1259997,3649,1516,2022,247,6000];
i=i+1;data.values(i,:)=[1274997,3585,1512,2030,272,6000];
i=i+1;data.values(i,:)=[1289996,3520,1520,2010,272,6000];
i=i+1;data.values(i,:)=[1305003,3458,1520,2020,252,6000];
i=i+1;data.values(i,:)=[1319997,3395,1512,2019,239,6000];
i=i+1;data.values(i,:)=[1334998,3328,1520,2016,264,6000];
i=i+1;data.values(i,:)=[1349997,3268,1520,2000,252,6000];
i=i+1;data.values(i,:)=[1364998,3200,1516,2011,231,6000];
i=i+1;data.values(i,:)=[1379998,3137,1524,2021,250,6000];
i=i+1;data.values(i,:)=[1394998,3073,1520,2017,242,6000];
i=i+1;data.values(i,:)=[1409996,3010,1516,2028,255,6000];
i=i+1;data.values(i,:)=[1424998,2942,1520,2013,252,6000];
i=i+1;data.values(i,:)=[1439997,2880,1528,2006,244,6000];
i=i+1;data.values(i,:)=[1454997,2815,1528,2015,217,6000];
i=i+1;data.values(i,:)=[1469996,2753,1520,2023,241,6000];
i=i+1;data.values(i,:)=[1484998,2687,1524,2004,272,6000];
i=i+1;data.values(i,:)=[1499997,2626,1528,2008,225,6000];
i=i+1;data.values(i,:)=[1514998,2560,1524,2021,249,6000];
i=i+1;data.values(i,:)=[1529997,2496,1524,2023,252,6000];
i=i+1;data.values(i,:)=[1544996,2432,1528,2004,244,6000];
i=i+1;data.values(i,:)=[1559997,2370,1516,2000,231,6000];
i=i+1;data.values(i,:)=[1574998,2308,1516,2013,223,6000];
i=i+1;data.values(i,:)=[1589997,2241,1528,2009,266,6000];
i=i+1;data.values(i,:)=[1604997,2176,1524,2013,247,6000];
i=i+1;data.values(i,:)=[1619999,2113,1520,2014,225,6000];
i=i+1;data.values(i,:)=[1634997,2051,1532,2020,244,6000];
i=i+1;data.values(i,:)=[1649997,1986,1524,2023,217,6000];
i=i+1;data.values(i,:)=[1664998,1924,1516,2015,260,6000];
i=i+1;data.values(i,:)=[1679998,1857,1516,2023,275,6000];
i=i+1;data.values(i,:)=[1694997,1793,1524,2018,275,6000];
i=i+1;data.values(i,:)=[1709996,1730,1524,2019,260,6000];
i=i+1;data.values(i,:)=[1724998,1668,1516,2014,239,6000];
i=i+1;data.values(i,:)=[1739998,1601,1520,2012,275,6000];
i=i+1;data.values(i,:)=[1754997,1540,1520,2017,252,6000];
i=i+1;data.values(i,:)=[1770002,1474,1512,2025,252,6000];
i=i+1;data.values(i,:)=[1784998,1411,1520,2005,272,6000];
i=i+1;data.values(i,:)=[1799997,1346,1524,2000,264,6000];
i=i+1;data.values(i,:)=[1814998,1283,1516,2012,239,6000];
i=i+1;data.values(i,:)=[1829997,1216,1520,2016,244,6000];
i=i+1;data.values(i,:)=[1844998,1152,1524,2017,223,6000];
i=i+1;data.values(i,:)=[1859998,1088,1524,2004,255,6000];
i=i+1;data.values(i,:)=[1874997,1025,1516,2013,225,6000];
i=i+1;data.values(i,:)=[1889996,963,1528,2017,250,6000];
i=i+1;data.values(i,:)=[1904997,899,1528,2005,231,6000];
i=i+1;data.values(i,:)=[1919998,832,1520,2019,241,6000];
i=i+1;data.values(i,:)=[1934997,768,1520,2017,252,6000];
i=i+1;data.values(i,:)=[1949997,704,1528,2010,231,6000];
i=i+1;data.values(i,:)=[1964997,642,1524,2013,249,6000];
i=i+1;data.values(i,:)=[1979999,578,1528,2005,211,6000];
i=i+1;data.values(i,:)=[1994998,511,1532,2024,217,6000];
i=i+1;data.values(i,:)=[2009998,447,1532,2014,227,6000];
i=i+1;data.values(i,:)=[2024996,383,1520,2016,225,6000];
i=i+1;data.values(i,:)=[2039997,319,1524,2014,263,6000];
i=i+1;data.values(i,:)=[2054998,255,1528,2016,266,6000];
i=i+1;data.values(i,:)=[2069997,193,1520,2015,239,6000];
i=i+1;data.values(i,:)=[2084997,126,1512,2021,272,6000];
i=i+1;data.values(i,:)=[2099997,62,1520,2009,242,6000];
i=i+1;data.values(i,:)=[2114997,4096,1524,2020,231,6000];
i=i+1;data.values(i,:)=[2129997,4032,1512,2028,252,6000];
i=i+1;data.values(i,:)=[2144996,3965,1524,2012,266,6000];
i=i+1;data.values(i,:)=[2159998,3904,1524,2011,247,6000];
i=i+1;data.values(i,:)=[2174998,3836,1512,2011,252,6000];
i=i+1;data.values(i,:)=[2189997,3773,1524,2014,250,6000];
i=i+1;data.values(i,:)=[2204999,3707,1520,2005,256,6000];
i=i+1;data.values(i,:)=[2219999,3645,1508,2009,244,6000];
i=i+1;data.values(i,:)=[2234998,3578,1512,2016,270,6000];
i=i+1;data.values(i,:)=[2249997,3515,1520,2022,264,6000];
i=i+1;data.values(i,:)=[2264998,3451,1520,2004,244,6000];
i=i+1;data.values(i,:)=[2279997,3387,1512,2013,231,6000];
i=i+1;data.values(i,:)=[2294998,3325,1520,2019,250,6000];
i=i+1;data.values(i,:)=[2309997,3259,1528,2022,231,6000];
i=i+1;data.values(i,:)=[2324999,3192,1520,2010,241,6000];
i=i+1;data.values(i,:)=[2339998,3129,1516,2005,260,6000];
i=i+1;data.values(i,:)=[2354998,3064,1528,2018,244,6000];
i=i+1;data.values(i,:)=[2369997,3001,1520,2026,231,6000];
i=i+1;data.values(i,:)=[2384998,2938,1524,2007,227,6000];
i=i+1;data.values(i,:)=[2399999,2871,1532,2011,247,6000];
i=i+1;data.values(i,:)=[2414998,2805,1528,2020,211,6000];
i=i+1;data.values(i,:)=[2429998,2744,1524,2025,241,6000];
i=i+1;data.values(i,:)=[2444998,2682,1532,2003,266,6000];
i=i+1;data.values(i,:)=[2459997,2616,1528,2011,236,6000];
i=i+1;data.values(i,:)=[2474999,2554,1520,2017,211,6000];
i=i+1;data.values(i,:)=[2489997,2487,1516,2017,260,6000];
i=i+1;data.values(i,:)=[2504996,2423,1532,2010,252,6000];
i=i+1;data.values(i,:)=[2519998,2360,1528,2011,225,6000];
i=i+1;data.values(i,:)=[2534997,2298,1520,2016,223,6000];
i=i+1;data.values(i,:)=[2549997,2232,1528,2007,260,6000];
i=i+1;data.values(i,:)=[2564997,2171,1524,2008,241,6000];
i=i+1;data.values(i,:)=[2579998,2104,1520,2005,231,6000];
i=i+1;data.values(i,:)=[2594998,2041,1532,2017,244,6000];
i=i+1;data.values(i,:)=[2609997,1976,1524,2023,242,6000];
i=i+1;data.values(i,:)=[2624996,1914,1516,2019,255,6000];
i=i+1;data.values(i,:)=[2639998,1848,1516,2014,247,6000];
i=i+1;data.values(i,:)=[2654998,1785,1520,2020,266,6000];
i=i+1;data.values(i,:)=[2669997,1719,1528,2019,239,6000];
i=i+1;data.values(i,:)=[2684997,1657,1516,2009,231,6000];
i=i+1;data.values(i,:)=[2699998,1593,1520,2011,258,6000];
i=i+1;data.values(i,:)=[2714998,1529,1520,2019,231,6000];
i=i+1;data.values(i,:)=[2729997,1461,1512,2022,231,6000];
i=i+1;data.values(i,:)=[2744998,1398,1516,2007,242,6000];
i=i+1;data.values(i,:)=[2759998,1333,1520,2012,228,6000];
i=i+1;data.values(i,:)=[2774998,1271,1520,2019,260,6000];
i=i+1;data.values(i,:)=[2789997,1208,1512,2012,247,6000];
i=i+1;data.values(i,:)=[2804999,1141,1524,2012,258,6000];
i=i+1;data.values(i,:)=[2819998,1081,1524,2012,247,6000];
i=i+1;data.values(i,:)=[2834998,1015,1512,2019,231,6000];
i=i+1;data.values(i,:)=[2849997,952,1524,2026,263,6000];
i=i+1;data.values(i,:)=[2864999,887,1524,2016,260,6000];
i=i+1;data.values(i,:)=[2879998,824,1524,2020,219,6000];
i=i+1;data.values(i,:)=[2894997,756,1532,2012,249,6000];
i=i+1;data.values(i,:)=[2909997,694,1532,2007,247,6000];
i=i+1;data.values(i,:)=[2924999,628,1532,2020,211,6000];
i=i+1;data.values(i,:)=[2939999,564,1528,2016,241,6000];
i=i+1;data.values(i,:)=[2954998,502,1528,2018,239,6000];
i=i+1;data.values(i,:)=[2969999,437,1528,2010,252,6000];
i=i+1;data.values(i,:)=[2984996,370,1524,2015,233,6000];
i=i+1;data.values(i,:)=[2999998,307,1520,2020,264,6000];
i=i+1;data.values(i,:)=[3014998,243,1528,2028,236,6000];
i=i+1;data.values(i,:)=[3029997,180,1520,2013,241,6000];
i=i+1;data.values(i,:)=[3044997,118,1516,2026,247,6000];
i=i+1;data.values(i,:)=[3059998,51,1528,2019,258,6000];
i=i+1;data.values(i,:)=[3074997,4081,1528,2018,225,6000];
i=i+1;data.values(i,:)=[3089997,4018,1512,2004,223,6000];
i=i+1;data.values(i,:)=[3104999,3956,1524,2016,275,6000];
i=i+1;data.values(i,:)=[3119998,3890,1524,2012,228,6000];
i=i+1;data.values(i,:)=[3134998,3822,1512,2027,260,6000];
i=i+1;data.values(i,:)=[3149997,3761,1512,2014,275,6000];
i=i+1;data.values(i,:)=[3164997,3695,1524,2005,275,6000];
i=i+1;data.values(i,:)=[3179999,3632,1516,2018,228,6000];
i=i+1;data.values(i,:)=[3194998,3570,1508,2023,258,6000];
i=i+1;data.values(i,:)=[3209998,3503,1520,2017,248,6000];
i=i+1;data.values(i,:)=[3224999,3443,1520,2016,260,6000];
i=i+1;data.values(i,:)=[3239998,3375,1512,2017,247,6000];
i=i+1;data.values(i,:)=[3254998,3312,1520,2016,258,6000];
i=i+1;data.values(i,:)=[3269998,3246,1524,1998,258,6000];
i=i+1;data.values(i,:)=[3284999,3184,1516,2017,231,6000];
i=i+1;data.values(i,:)=[3299998,3117,1520,2026,263,6000];
i=i+1;data.values(i,:)=[3315001,3054,1524,2023,260,6000];
i=i+1;data.values(i,:)=[3329997,2989,1524,2009,241,6000];
i=i+1;data.values(i,:)=[3344998,2926,1520,2014,225,6000];
i=i+1;data.values(i,:)=[3360002,2859,1532,2027,263,6000];
i=i+1;data.values(i,:)=[3374997,2798,1528,2022,241,6000];
i=i+1;data.values(i,:)=[3389997,2732,1520,2010,225,6000];
i=i+1;data.values(i,:)=[3404999,2669,1524,2010,236,6000];
i=i+1;data.values(i,:)=[3419999,2604,1528,2016,252,6000];
i=i+1;data.values(i,:)=[3434997,2542,1524,2011,219,6000];
i=i+1;data.values(i,:)=[3449998,2478,1524,2011,203,6000];
i=i+1;data.values(i,:)=[3464956,2412,1528,2018,260,6000];
i=i+1;data.values(i,:)=[3479998,2347,1532,2015,233,6000];
i=i+1;data.values(i,:)=[3494999,2284,1520,2025,225,6000];
i=i+1;data.values(i,:)=[3509997,2223,1524,2012,236,6000];
i=i+1;data.values(i,:)=[3524999,2158,1528,2010,223,6000];
i=i+1;data.values(i,:)=[3539998,2095,1516,2016,252,6000];
i=i+1;data.values(i,:)=[3554999,2029,1512,2016,266,6000];
i=i+1;data.values(i,:)=[3569998,1964,1528,2002,258,6000];
i=i+1;data.values(i,:)=[3584997,1902,1524,2000,252,6000];
i=i+1;data.values(i,:)=[3599998,1839,1512,2017,231,6000];
i=i+1;data.values(i,:)=[3614998,1773,1524,2022,258,6000];
i=i+1;data.values(i,:)=[3629998,1713,1520,2007,236,6000];
i=i+1;data.values(i,:)=[3644998,1645,1512,2017,223,6000];
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